{"id":"W2170406185","doi":"10.1109/tvcg.2010.237","title":"Whisper, Don't Scream: Grids and Transparency","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; USable; Transparency (behavior); Grid; Presentation (obstetrics); Visualization; Artificial intelligence; Computer vision; Human–computer interaction; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008268,0.000233766,0.0002097585,0.0004066644,0.0003971039,0.0004327322,0.0003458532,0.0001470414,0.0000393732],"category_scores_gemma":[0.000002977163,0.0002287207,0.00006541375,0.00081384,0.0001500891,0.0006324686,0.000006928291,0.0002760844,0.000007596962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006021501,"about_ca_system_score_gemma":0.00003974021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104802,"about_ca_topic_score_gemma":0.0001035706,"domain_scores_codex":[0.9985625,0.00006912774,0.000331035,0.0005153654,0.0002961302,0.0002258391],"domain_scores_gemma":[0.9990616,0.00006669658,0.00007728855,0.0004286357,0.0001371083,0.0002286336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006653081,0.0002394328,0.0002453199,0.00003423218,0.00003178182,0.000003321599,0.0007125005,0.00005460759,0.0001072438,0.9810957,0.0004603316,0.01700888],"study_design_scores_gemma":[0.0007437792,0.0001938163,0.0007823572,0.00003121216,0.00003093763,0.00004233048,0.00002550508,0.9858069,0.001229215,0.001332995,0.009419931,0.0003609773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009914319,0.00002993711,0.9884096,0.0001785346,0.0008914813,0.0001417494,0.00002291366,0.0002931201,0.0001183497],"genre_scores_gemma":[0.9923869,0.0008033908,0.004286595,0.002232121,0.00009655318,0.00001216234,0.00002184456,0.00002425177,0.0001361903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9857523,"threshold_uncertainty_score":0.932696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598287099181107,"score_gpt":0.2746613487351581,"score_spread":0.2586784777433471,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}